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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q249-Q254):

NEW QUESTION # 249
A large financial services company requires that all data be encrypted in transit. A Developer is attempting to connect to an Amazon RDS DB instance using the company VPC for the first time with credentials provided by a Database Specialist. Other members of the Development team can connect, but this user is consistently receiving an error indicating a communications link failure. The Developer asked the Database Specialist to reset the password a number of times, but the error persists.
Which step should be taken to troubleshoot this issue?

A. Ensure that the RDS DB instance has not reached its maximum connections limit
B. Ensure that the RDS DB instance's subnet group includes a public subnet to allow the Developer to connect
C. Ensure that the connection is using SSL and is addressing the port where the RDS DB instance is listening for encrypted connections
D. Ensure that the database option group for the RDS DB instance allows ingress from the Developer machine's IP address

Answer: C

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/SQLServer.Concepts.General.SSL.Using.html

NEW QUESTION # 250
A company has a heterogeneous six-node production Amazon Aurora DB cluster that handles online transaction processing (OLTP) for the core business and OLAP reports for the human resources department. To match compute resources to the use case, the company has decided to have the reporting workload for the human resources department be directed to two small nodes in the Aurora DB cluster, while every other workload goes to four large nodes in the same DB cluster.
Which option would ensure that the correct nodes are always available for the appropriate workload while meeting these requirements?

A. Use automatic scaling for the Aurora Replica to have the appropriate number of replicas for the desired workload.
B. Create additional readers to cater to the different scenarios.
C. Use the writer endpoint for OLTP and the reader endpoint for the OLAP reporting workload.
D. Use custom endpoints to satisfy the different workloads.

Answer: D

Explanation:
https://aws.amazon.com/about-aws/whats-new/2018/11/amazon-aurora-simplifies-workload-management-with-custom-endpoints/ You can now create custom endpoints for Amazon Aurora databases. This allows you to distribute and load balance workloads across different sets of database instances in your Aurora cluster. For example, you may provision a set of Aurora Replicas to use an instance type with higher memory capacity in order to run an analytics workload. A custom endpoint can then help you route the analytics workload to these appropriately-configured instances, while keeping other instances in your cluster isolated from this workload. As you add or remove instances from the custom endpoint to match your workload, the endpoint helps spread the load around.

NEW QUESTION # 251
A company has migrated a single MySQL database to Amazon Aurora. The production data is hosted in a DB cluster in VPC_PROD, and 12 testing environments are hosted in VPC_TEST using the same AWS account.
Testing results in minimal changes to the test data. The Development team wants each environment refreshed nightly so each test database contains fresh production data every day.
Which migration approach will be the fastest and most cost-effective to implement?

A. Run the master in Amazon Aurora MySQL. Create 12 clones in VPC_TEST, and script the clones to bedeleted and re-created nightly.
B. Run the master in Amazon Aurora MySQL. Take a nightly snapshot, and restore it into 12 databases inVPC_TEST using Aurora Serverless.
C. Run the master in Amazon Aurora MySQL. Create 12 Aurora Replicas in VPC_TEST, and script thereplicas to be deleted and re-created nightly.
D. Run the master in Amazon Aurora MySQL using Aurora Serverless. Create 12 clones in VPC_TEST, andscript the clones to be deleted and re-created nightly.

Answer: A

NEW QUESTION # 252
A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.
What can the Database Specialist do to reduce the overall cost?

A. Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.
B. Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.
C. Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.
D. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.

Answer: C

Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html

NEW QUESTION # 253
A Database Specialist must create a read replica to isolate read-only queries for an Amazon RDS for MySQL DB instance. Immediately after creating the read replica, users that query it report slow response times.
What could be causing these slow response times?

A. Overload of a single replication thread by excessive writes on the master
B. Insufficient resources on the master
C. New volumes created from snapshots load lazily in the background
D. Long-running statements on the master

Answer: C

Explanation:
snapshot is lazy loaded If the volume is accessed where the data is not loaded, the application accessing the volume encounters a higher latency than normal while the data gets loaded
https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-ebs-fast-snapshot-restore-eliminates-need-for-prewarming-data-into-volumes-created-snapshots/

NEW QUESTION # 254
......

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